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How to Measure the Relevance of a Retargeting Approach?

机译:如何衡量重定向方法的相关性?

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Most cell phones today can receive and display video content. Nonetheless, we are still significantly behind the point where premium made for mobile content is mainstream, largely available, and affordable. Significant issues must be overcome. The small screen size is one of them. Indeed, the direct transfer of conventional contents (i.e. not specifically shot for mobile devices) will provide a video in which the main characters or objects of interest may become indistinguishable from the rest of the scene. Therefore, it is required to retarget the content. Different solutions exist, either based on distortion of the image, on removal of redundant areas, or cropping. The most efficient ones are based on dynamic adaptation of the cropping window. They significantly improve the viewing experience by zooming in the regions of interest. Currently, there is no common agreement on how to compare different solutions. A retargeting metric is proposed in order to gauge its quality. Eye-tracking experiments, zooming effect through coverage ratio and temporal consistency are introduced and discussed.
机译:当今大多数手机都可以接收和显示视频内容。尽管如此,我们仍然远远落后于移动内容的价格成为主流,大部分可用且价格合理的地步。必须克服重大问题。小屏幕尺寸就是其中之一。实际上,常规内容的直接传送(即,不是为移动设备专门拍摄的)将提供视频,其中感兴趣的主要角色或对象可能与场景的其余部分无法区分。因此,需要重新定位内容。存在不同的解决方案,无论是基于图像的失真,基于多余区域的去除还是裁切。最有效的方法是基于裁剪窗口的动态适应。它们通过放大感兴趣的区域显着改善了观看体验。当前,关于如何比较不同的解决方案尚未达成共识。提出了一种重新定位指标,以衡量其质量。介绍并讨论了眼球跟踪实验,通过覆盖率的缩放效果和时间一致性。

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